Kalman Filter Applications to all Digital Syncronization Techniques: Carrier Synchronization and Channel Estimation for Single and Multi-Carrier Systems - Couverture souple

Perets, Rita

 
9783639228892: Kalman Filter Applications to all Digital Syncronization Techniques: Carrier Synchronization and Channel Estimation for Single and Multi-Carrier Systems
Couverture souple
ISBN 10 : 3639228898 ISBN 13 : 9783639228892
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

This book is concerned with synchronization in communications systems. Synchronization failure may have catastrophic effects on the performance of a communication system. The Kalman filter has a great potential as a tool for synchronization. Although not widely used in the field of communications, the Kalman filter is popular in many other fields such as radar and navigation. Using the Kalman filter has many advantages. For the application, only the state space model of the problem is required. High performance is achieved with relatively low complexity. A single Kalman filter can solve a number of estimation problems encountered. In this work, the application of the Kalman filter to a number of synchronization and channel estimation problems is investigated. Both single and multi-carrier systems are considered. For the multi- carrier sytem (OFDM), a Kalman filter is applied to solve most of the synchronization problems, estimating frequency, phase and timing offsets, as well as estimating the multipath channel. For single carrier systems, the carrier synchronization task is proposed to be performed using an array of Kalman trackers.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book is concerned with synchronization in communications systems. Synchronization failure may have catastrophic effects on the performance of a communication system. The Kalman filter has a great potential as a tool for synchronization. Although not widely used in the field of communications, the Kalman filter is popular in many other fields such as radar and navigation. Using the Kalman filter has many advantages. For the application, only the state space model of the problem is required. High performance is achieved with relatively low complexity. A single Kalman filter can solve a number of estimation problems encountered. In this work, the application of the Kalman filter to a number of synchronization and channel estimation problems is investigated. Both single and multi-carrier systems are considered. For the multi- carrier sytem (OFDM), a Kalman filter is applied to solve most of the synchronization problems, estimating frequency, phase and timing offsets, as well as estimating the multipath channel. For single carrier systems, the carrier synchronization task is proposed to be performed using an array of Kalman trackers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639228898
ISBN 13 
9783639228892
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
non disponible